{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyzing COVID-19 Papers\n",
    "\n",
    "In this challenge, we will continue with the topic of COVID pandemic, and focus on processing scientific papers on the subject. There is [CORD-19 Dataset](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge) with more than 7000 (at the time of writing) papers on COVID, available with metadata and abstracts (and for about half of them there is also full text provided).\n",
    "\n",
    "A full example of analyzing this dataset using [Text Analytics for Health](https://docs.microsoft.com/azure/cognitive-services/text-analytics/how-tos/text-analytics-for-health/?WT.mc_id=academic-77958-bethanycheum) cognitive service is described [in this blog post](https://soshnikov.com/science/analyzing-medical-papers-with-azure-and-text-analytics-for-health/). We will discuss simplified version of this analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting the Data\n",
    "\n",
    "First, we need get the metadata for CORD papers that we will be working with.\n",
    "\n",
    "**NOTE**: We do not provide a copy of the dataset as part of this repository. You may first need to download the [`metadata.csv`](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge?select=metadata.csv) file from [this dataset on Kaggle](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge). Registration with Kaggle may be required. You may also download the dataset without registration [from here](https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/historical_releases.html), but it will include all full texts in addition to metadata file.\n",
    "\n",
    "We will try to get the data directly from online source, however, if it fails, you need to download the data as described above. Also, it makes sense to download the data if you plan to experiment with it further, to save on waiting time.\n",
    "\n",
    "> **NOTE** that dataset is quite large, around 1 Gb in size, and the following line of code can take a long time to complete! (~5 mins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\winapp\\Miniconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3441: DtypeWarning:\n",
      "\n",
      "Columns (1,4,5,6,13,14,15,16) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "\n"
     ]
    },
    {
     "data": {
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cord_uid</th>\n",
       "      <th>sha</th>\n",
       "      <th>source_x</th>\n",
       "      <th>title</th>\n",
       "      <th>doi</th>\n",
       "      <th>pmcid</th>\n",
       "      <th>pubmed_id</th>\n",
       "      <th>license</th>\n",
       "      <th>abstract</th>\n",
       "      <th>publish_time</th>\n",
       "      <th>authors</th>\n",
       "      <th>journal</th>\n",
       "      <th>mag_id</th>\n",
       "      <th>who_covidence_id</th>\n",
       "      <th>arxiv_id</th>\n",
       "      <th>pdf_json_files</th>\n",
       "      <th>pmc_json_files</th>\n",
       "      <th>url</th>\n",
       "      <th>s2_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ug7v899j</td>\n",
       "      <td>d1aafb70c066a2068b02786f8929fd9c900897fb</td>\n",
       "      <td>PMC</td>\n",
       "      <td>Clinical features of culture-proven Mycoplasma...</td>\n",
       "      <td>10.1186/1471-2334-1-6</td>\n",
       "      <td>PMC35282</td>\n",
       "      <td>11472636</td>\n",
       "      <td>no-cc</td>\n",
       "      <td>OBJECTIVE: This retrospective chart review des...</td>\n",
       "      <td>2001-07-04</td>\n",
       "      <td>Madani, Tariq A; Al-Ghamdi, Aisha A</td>\n",
       "      <td>BMC Infect Dis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>document_parses/pdf_json/d1aafb70c066a2068b027...</td>\n",
       "      <td>document_parses/pmc_json/PMC35282.xml.json</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02tnwd4m</td>\n",
       "      <td>6b0567729c2143a66d737eb0a2f63f2dce2e5a7d</td>\n",
       "      <td>PMC</td>\n",
       "      <td>Nitric oxide: a pro-inflammatory mediator in l...</td>\n",
       "      <td>10.1186/rr14</td>\n",
       "      <td>PMC59543</td>\n",
       "      <td>11667967</td>\n",
       "      <td>no-cc</td>\n",
       "      <td>Inflammatory diseases of the respiratory tract...</td>\n",
       "      <td>2000-08-15</td>\n",
       "      <td>Vliet, Albert van der; Eiserich, Jason P; Cros...</td>\n",
       "      <td>Respir Res</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>document_parses/pdf_json/6b0567729c2143a66d737...</td>\n",
       "      <td>document_parses/pmc_json/PMC59543.xml.json</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ejv2xln0</td>\n",
       "      <td>06ced00a5fc04215949aa72528f2eeaae1d58927</td>\n",
       "      <td>PMC</td>\n",
       "      <td>Surfactant protein-D and pulmonary host defense</td>\n",
       "      <td>10.1186/rr19</td>\n",
       "      <td>PMC59549</td>\n",
       "      <td>11667972</td>\n",
       "      <td>no-cc</td>\n",
       "      <td>Surfactant protein-D (SP-D) participates in th...</td>\n",
       "      <td>2000-08-25</td>\n",
       "      <td>Crouch, Erika C</td>\n",
       "      <td>Respir Res</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>document_parses/pdf_json/06ced00a5fc04215949aa...</td>\n",
       "      <td>document_parses/pmc_json/PMC59549.xml.json</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2b73a28n</td>\n",
       "      <td>348055649b6b8cf2b9a376498df9bf41f7123605</td>\n",
       "      <td>PMC</td>\n",
       "      <td>Role of endothelin-1 in lung disease</td>\n",
       "      <td>10.1186/rr44</td>\n",
       "      <td>PMC59574</td>\n",
       "      <td>11686871</td>\n",
       "      <td>no-cc</td>\n",
       "      <td>Endothelin-1 (ET-1) is a 21 amino acid peptide...</td>\n",
       "      <td>2001-02-22</td>\n",
       "      <td>Fagan, Karen A; McMurtry, Ivan F; Rodman, David M</td>\n",
       "      <td>Respir Res</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>document_parses/pdf_json/348055649b6b8cf2b9a37...</td>\n",
       "      <td>document_parses/pmc_json/PMC59574.xml.json</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9785vg6d</td>\n",
       "      <td>5f48792a5fa08bed9f56016f4981ae2ca6031b32</td>\n",
       "      <td>PMC</td>\n",
       "      <td>Gene expression in epithelial cells in respons...</td>\n",
       "      <td>10.1186/rr61</td>\n",
       "      <td>PMC59580</td>\n",
       "      <td>11686888</td>\n",
       "      <td>no-cc</td>\n",
       "      <td>Respiratory syncytial virus (RSV) and pneumoni...</td>\n",
       "      <td>2001-05-11</td>\n",
       "      <td>Domachowske, Joseph B; Bonville, Cynthia A; Ro...</td>\n",
       "      <td>Respir Res</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>document_parses/pdf_json/5f48792a5fa08bed9f560...</td>\n",
       "      <td>document_parses/pmc_json/PMC59580.xml.json</td>\n",
       "      <td>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   cord_uid                                       sha source_x  \\\n",
       "0  ug7v899j  d1aafb70c066a2068b02786f8929fd9c900897fb      PMC   \n",
       "1  02tnwd4m  6b0567729c2143a66d737eb0a2f63f2dce2e5a7d      PMC   \n",
       "2  ejv2xln0  06ced00a5fc04215949aa72528f2eeaae1d58927      PMC   \n",
       "3  2b73a28n  348055649b6b8cf2b9a376498df9bf41f7123605      PMC   \n",
       "4  9785vg6d  5f48792a5fa08bed9f56016f4981ae2ca6031b32      PMC   \n",
       "\n",
       "                                               title                    doi  \\\n",
       "0  Clinical features of culture-proven Mycoplasma...  10.1186/1471-2334-1-6   \n",
       "1  Nitric oxide: a pro-inflammatory mediator in l...           10.1186/rr14   \n",
       "2    Surfactant protein-D and pulmonary host defense           10.1186/rr19   \n",
       "3               Role of endothelin-1 in lung disease           10.1186/rr44   \n",
       "4  Gene expression in epithelial cells in respons...           10.1186/rr61   \n",
       "\n",
       "      pmcid pubmed_id license  \\\n",
       "0  PMC35282  11472636   no-cc   \n",
       "1  PMC59543  11667967   no-cc   \n",
       "2  PMC59549  11667972   no-cc   \n",
       "3  PMC59574  11686871   no-cc   \n",
       "4  PMC59580  11686888   no-cc   \n",
       "\n",
       "                                            abstract publish_time  \\\n",
       "0  OBJECTIVE: This retrospective chart review des...   2001-07-04   \n",
       "1  Inflammatory diseases of the respiratory tract...   2000-08-15   \n",
       "2  Surfactant protein-D (SP-D) participates in th...   2000-08-25   \n",
       "3  Endothelin-1 (ET-1) is a 21 amino acid peptide...   2001-02-22   \n",
       "4  Respiratory syncytial virus (RSV) and pneumoni...   2001-05-11   \n",
       "\n",
       "                                             authors         journal  mag_id  \\\n",
       "0                Madani, Tariq A; Al-Ghamdi, Aisha A  BMC Infect Dis     NaN   \n",
       "1  Vliet, Albert van der; Eiserich, Jason P; Cros...      Respir Res     NaN   \n",
       "2                                    Crouch, Erika C      Respir Res     NaN   \n",
       "3  Fagan, Karen A; McMurtry, Ivan F; Rodman, David M      Respir Res     NaN   \n",
       "4  Domachowske, Joseph B; Bonville, Cynthia A; Ro...      Respir Res     NaN   \n",
       "\n",
       "  who_covidence_id arxiv_id  \\\n",
       "0              NaN      NaN   \n",
       "1              NaN      NaN   \n",
       "2              NaN      NaN   \n",
       "3              NaN      NaN   \n",
       "4              NaN      NaN   \n",
       "\n",
       "                                      pdf_json_files  \\\n",
       "0  document_parses/pdf_json/d1aafb70c066a2068b027...   \n",
       "1  document_parses/pdf_json/6b0567729c2143a66d737...   \n",
       "2  document_parses/pdf_json/06ced00a5fc04215949aa...   \n",
       "3  document_parses/pdf_json/348055649b6b8cf2b9a37...   \n",
       "4  document_parses/pdf_json/5f48792a5fa08bed9f560...   \n",
       "\n",
       "                               pmc_json_files  \\\n",
       "0  document_parses/pmc_json/PMC35282.xml.json   \n",
       "1  document_parses/pmc_json/PMC59543.xml.json   \n",
       "2  document_parses/pmc_json/PMC59549.xml.json   \n",
       "3  document_parses/pmc_json/PMC59574.xml.json   \n",
       "4  document_parses/pmc_json/PMC59580.xml.json   \n",
       "\n",
       "                                                 url  s2_id  \n",
       "0  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3...    NaN  \n",
       "1  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...    NaN  \n",
       "2  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...    NaN  \n",
       "3  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...    NaN  \n",
       "4  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...    NaN  "
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"https://datascience4beginners.blob.core.windows.net/cord/metadata.csv.zip\",compression='zip')\n",
    "# df = pd.read_csv(\"metadata.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will now convert publication date column to `datetime`, and plot the histogram to see the range of publication dates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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       "<Figure size 640x480 with 1 Axes>"
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['publish_time'] = pd.to_datetime(df['publish_time'])\n",
    "df['publish_time'].hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, there are coronavirus-related papers that date back to 1880!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Structured Data Extraction\n",
    "\n",
    "Let's see what kind of information we can easily extract from abstracts. One thing we might be interested in is to see which treatment strategies exist, and how they evolved over time. To begin with, we can manually compile the list of possible medications used to treat COVID, and also the list of diagnoses. We then go over them and search corresponding terms in the abstracts of papers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " + Processing medication: hydroxychloroquine\n",
      " + Processing medication: chloroquine\n",
      " + Processing medication: tocilizumab\n",
      " + Processing medication: remdesivir\n",
      " + Processing medication: azithromycin\n",
      " + Processing medication: lopinavir\n",
      " + Processing medication: ritonavir\n",
      " + Processing medication: dexamethasone\n",
      " + Processing medication: heparin\n",
      " + Processing medication: favipiravir\n",
      " + Processing medication: methylprednisolone\n",
      " + Processing diagnosis: covid\n",
      " + Processing diagnosis: sars\n",
      " + Processing diagnosis: pneumonia\n",
      " + Processing diagnosis: infection\n",
      " + Processing diagnosis: diabetes\n",
      " + Processing diagnosis: coronavirus\n",
      " + Processing diagnosis: death\n"
     ]
    }
   ],
   "source": [
    "medications = [\n",
    "    'hydroxychloroquine', 'chloroquine', 'tocilizumab', 'remdesivir', 'azithromycin', \n",
    "    'lopinavir', 'ritonavir', 'dexamethasone', 'heparin', 'favipiravir', 'methylprednisolone']\n",
    "diagnosis = [\n",
    "    'covid','sars','pneumonia','infection','diabetes','coronavirus','death'\n",
    "]\n",
    "\n",
    "for m in medications:\n",
    "    print(f\" + Processing medication: {m}\")\n",
    "    df[m] = df['abstract'].apply(lambda x: str(x).lower().count(' '+m))\n",
    "    \n",
    "for m in diagnosis:\n",
    "    print(f\" + Processing diagnosis: {m}\")\n",
    "    df[m] = df['abstract'].apply(lambda x: str(x).lower().count(' '+m))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have added a bunch of columns to our dataframe that contain number of times a given medicine/diagnosis is present in the abstract. \n",
    "\n",
    "> **Note** that we add space to the beginning of the word when looking for a substring. If we do not do that, we might get wrong results, because *chloroquine* would also be found inside substring *hydroxychloroquine*. Also, we force conversion of abstracts column to `str` to get rid of an error - try removing `str` and see what happens.\n",
    "\n",
    "To make working with data easier, we can extract the sub-frame with only medication counts, and compute the accumulated number of occurrences. This gives is the most popular medication: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>hydroxychloroquine</td>\n",
       "      <td>9806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>remdesivir</td>\n",
       "      <td>7861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tocilizumab</td>\n",
       "      <td>6118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>chloroquine</td>\n",
       "      <td>4578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>heparin</td>\n",
       "      <td>4161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>lopinavir</td>\n",
       "      <td>3811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>azithromycin</td>\n",
       "      <td>3585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>dexamethasone</td>\n",
       "      <td>3340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>favipiravir</td>\n",
       "      <td>2439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>methylprednisolone</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ritonavir</td>\n",
       "      <td>948</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Name  Count\n",
       "0   hydroxychloroquine   9806\n",
       "3           remdesivir   7861\n",
       "2          tocilizumab   6118\n",
       "1          chloroquine   4578\n",
       "8              heparin   4161\n",
       "5            lopinavir   3811\n",
       "4         azithromycin   3585\n",
       "7        dexamethasone   3340\n",
       "9          favipiravir   2439\n",
       "10  methylprednisolone   1600\n",
       "6            ritonavir    948"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfm = df[medications]\n",
    "dfm = dfm.sum().reset_index().rename(columns={ 'index' : 'Name', 0 : 'Count'})\n",
    "dfm.sort_values('Count',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_7\">\r\n      <!-- ritonavir -->\r\n      <g transform=\"translate(259.79733 322.513562)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"41.113281\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"68.896484\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"108.105469\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"169.287109\" xlink:href=\"#DejaVuSans-6e\"/>\r\n       <use x=\"232.666016\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"293.945312\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"353.125\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"380.908203\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_8\">\r\n     <g id=\"line2d_8\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"289.503409\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      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</g>\r\n    </g>\r\n    <g id=\"xtick_9\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.968864\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- heparin -->\r\n      <g transform=\"translate(324.728239 318.50575)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-68\"/>\r\n       <use x=\"63.378906\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"124.902344\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"188.378906\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"249.658203\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"290.771484\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"318.554688\" xlink:href=\"#DejaVuSans-6e\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_10\">\r\n     <g id=\"line2d_10\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"354.434318\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_10\">\r\n      <!-- favipiravir -->\r\n      <g transform=\"translate(357.193693 330.83075)rotate(-90)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2375 4863 \r\nL 2375 4384 \r\nL 1825 4384 \r\nQ 1516 4384 1395 4259 \r\nQ 1275 4134 1275 3809 \r\nL 1275 3500 \r\nL 2222 3500 \r\nL 2222 3053 \r\nL 1275 3053 \r\nL 1275 0 \r\nL 697 0 \r\nL 697 3053 \r\nL 147 3053 \r\nL 147 3500 \r\nL 697 3500 \r\nL 697 3744 \r\nQ 697 4328 969 4595 \r\nQ 1241 4863 1831 4863 \r\nL 2375 4863 \r\nz\r\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-66\"/>\r\n       <use x=\"35.205078\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"96.484375\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"155.664062\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"183.447266\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"246.923828\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"274.707031\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"315.820312\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"377.099609\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"436.279297\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"464.0625\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_11\">\r\n     <g id=\"line2d_11\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.899773\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_11\">\r\n      <!-- methylprednisolone -->\r\n      <g transform=\"translate(389.659148 379.727625)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"97.412109\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"158.935547\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"198.144531\" xlink:href=\"#DejaVuSans-68\"/>\r\n      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3103 4656 3366 4563 \r\nz\r\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-36\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\r\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_16\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.0125\" xlink:href=\"#me5fd5945af\" y=\"66.548794\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_17\">\r\n      <!-- 8000 -->\r\n      <g transform=\"translate(13.5625 70.348013)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2034 2216 \r\nQ 1584 2216 1326 1975 \r\nQ 1069 1734 1069 1313 \r\nQ 1069 891 1326 650 \r\nQ 1584 409 2034 409 \r\nQ 2484 409 2743 651 \r\nQ 3003 894 3003 1313 \r\nQ 3003 1734 2745 1975 \r\nQ 2488 2216 2034 2216 \r\nz\r\nM 1403 2484 \r\nQ 997 2584 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
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     "metadata": {},
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    }
   ],
   "source": [
    "dfm.set_index('Name').plot(kind='bar')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Looking for Trends in Treatment Strategy\n",
    "\n",
    "In the example above we have `sum`ed all values, but we can also do the same on a monthly basis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>hydroxychloroquine</th>\n",
       "      <th>chloroquine</th>\n",
       "      <th>tocilizumab</th>\n",
       "      <th>remdesivir</th>\n",
       "      <th>azithromycin</th>\n",
       "      <th>lopinavir</th>\n",
       "      <th>ritonavir</th>\n",
       "      <th>dexamethasone</th>\n",
       "      <th>heparin</th>\n",
       "      <th>favipiravir</th>\n",
       "      <th>methylprednisolone</th>\n",
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       "      <th>publish_time</th>\n",
       "      <th>publish_time</th>\n",
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       "      <th rowspan=\"12\" valign=\"top\">2020</th>\n",
       "      <th>1</th>\n",
       "      <td>3672</td>\n",
       "      <td>1773</td>\n",
       "      <td>1779</td>\n",
       "      <td>2134</td>\n",
       "      <td>1173</td>\n",
       "      <td>1430</td>\n",
       "      <td>370</td>\n",
       "      <td>561</td>\n",
       "      <td>984</td>\n",
       "      <td>666</td>\n",
       "      <td>331</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>45</td>\n",
       "      <td>72</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>52</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>188</td>\n",
       "      <td>238</td>\n",
       "      <td>50</td>\n",
       "      <td>124</td>\n",
       "      <td>68</td>\n",
       "      <td>113</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>77</td>\n",
       "      <td>48</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>459</td>\n",
       "      <td>191</td>\n",
       "      <td>158</td>\n",
       "      <td>209</td>\n",
       "      <td>132</td>\n",
       "      <td>135</td>\n",
       "      <td>41</td>\n",
       "      <td>12</td>\n",
       "      <td>92</td>\n",
       "      <td>48</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>381</td>\n",
       "      <td>149</td>\n",
       "      <td>243</td>\n",
       "      <td>186</td>\n",
       "      <td>110</td>\n",
       "      <td>132</td>\n",
       "      <td>18</td>\n",
       "      <td>48</td>\n",
       "      <td>84</td>\n",
       "      <td>30</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>381</td>\n",
       "      <td>178</td>\n",
       "      <td>202</td>\n",
       "      <td>165</td>\n",
       "      <td>108</td>\n",
       "      <td>138</td>\n",
       "      <td>29</td>\n",
       "      <td>58</td>\n",
       "      <td>117</td>\n",
       "      <td>56</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>307</td>\n",
       "      <td>115</td>\n",
       "      <td>172</td>\n",
       "      <td>165</td>\n",
       "      <td>145</td>\n",
       "      <td>91</td>\n",
       "      <td>24</td>\n",
       "      <td>56</td>\n",
       "      <td>95</td>\n",
       "      <td>45</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>319</td>\n",
       "      <td>123</td>\n",
       "      <td>185</td>\n",
       "      <td>190</td>\n",
       "      <td>91</td>\n",
       "      <td>98</td>\n",
       "      <td>28</td>\n",
       "      <td>90</td>\n",
       "      <td>111</td>\n",
       "      <td>46</td>\n",
       "      <td>26</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>319</td>\n",
       "      <td>96</td>\n",
       "      <td>212</td>\n",
       "      <td>227</td>\n",
       "      <td>72</td>\n",
       "      <td>127</td>\n",
       "      <td>39</td>\n",
       "      <td>97</td>\n",
       "      <td>117</td>\n",
       "      <td>81</td>\n",
       "      <td>37</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>272</td>\n",
       "      <td>66</td>\n",
       "      <td>170</td>\n",
       "      <td>197</td>\n",
       "      <td>79</td>\n",
       "      <td>104</td>\n",
       "      <td>27</td>\n",
       "      <td>77</td>\n",
       "      <td>124</td>\n",
       "      <td>77</td>\n",
       "      <td>44</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>255</td>\n",
       "      <td>102</td>\n",
       "      <td>229</td>\n",
       "      <td>271</td>\n",
       "      <td>98</td>\n",
       "      <td>76</td>\n",
       "      <td>31</td>\n",
       "      <td>76</td>\n",
       "      <td>87</td>\n",
       "      <td>56</td>\n",
       "      <td>59</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">2021</th>\n",
       "      <th>1</th>\n",
       "      <td>2191</td>\n",
       "      <td>780</td>\n",
       "      <td>1787</td>\n",
       "      <td>2523</td>\n",
       "      <td>892</td>\n",
       "      <td>841</td>\n",
       "      <td>198</td>\n",
       "      <td>1208</td>\n",
       "      <td>1096</td>\n",
       "      <td>805</td>\n",
       "      <td>474</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>163</td>\n",
       "      <td>66</td>\n",
       "      <td>184</td>\n",
       "      <td>173</td>\n",
       "      <td>85</td>\n",
       "      <td>76</td>\n",
       "      <td>9</td>\n",
       "      <td>86</td>\n",
       "      <td>61</td>\n",
       "      <td>52</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>172</td>\n",
       "      <td>85</td>\n",
       "      <td>190</td>\n",
       "      <td>295</td>\n",
       "      <td>87</td>\n",
       "      <td>100</td>\n",
       "      <td>17</td>\n",
       "      <td>150</td>\n",
       "      <td>82</td>\n",
       "      <td>85</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>198</td>\n",
       "      <td>70</td>\n",
       "      <td>125</td>\n",
       "      <td>161</td>\n",
       "      <td>83</td>\n",
       "      <td>60</td>\n",
       "      <td>13</td>\n",
       "      <td>130</td>\n",
       "      <td>144</td>\n",
       "      <td>60</td>\n",
       "      <td>37</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>141</td>\n",
       "      <td>55</td>\n",
       "      <td>138</td>\n",
       "      <td>179</td>\n",
       "      <td>69</td>\n",
       "      <td>55</td>\n",
       "      <td>21</td>\n",
       "      <td>108</td>\n",
       "      <td>141</td>\n",
       "      <td>106</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>144</td>\n",
       "      <td>29</td>\n",
       "      <td>138</td>\n",
       "      <td>182</td>\n",
       "      <td>75</td>\n",
       "      <td>41</td>\n",
       "      <td>12</td>\n",
       "      <td>128</td>\n",
       "      <td>116</td>\n",
       "      <td>66</td>\n",
       "      <td>42</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>112</td>\n",
       "      <td>49</td>\n",
       "      <td>96</td>\n",
       "      <td>270</td>\n",
       "      <td>64</td>\n",
       "      <td>59</td>\n",
       "      <td>5</td>\n",
       "      <td>169</td>\n",
       "      <td>106</td>\n",
       "      <td>44</td>\n",
       "      <td>50</td>\n",
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      "text/plain": [
       "                           hydroxychloroquine  chloroquine  tocilizumab  \\\n",
       "publish_time publish_time                                                 \n",
       "2020         1                           3672         1773         1779   \n",
       "             2                              0           19            0   \n",
       "             3                             45           72            5   \n",
       "             4                            188          238           50   \n",
       "             5                            459          191          158   \n",
       "             6                            381          149          243   \n",
       "             7                            381          178          202   \n",
       "             8                            307          115          172   \n",
       "             9                            319          123          185   \n",
       "             10                           319           96          212   \n",
       "             11                           272           66          170   \n",
       "             12                           255          102          229   \n",
       "2021         1                           2191          780         1787   \n",
       "             2                            163           66          184   \n",
       "             3                            172           85          190   \n",
       "             4                            198           70          125   \n",
       "             5                            141           55          138   \n",
       "             6                            144           29          138   \n",
       "             7                            112           49           96   \n",
       "\n",
       "                           remdesivir  azithromycin  lopinavir  ritonavir  \\\n",
       "publish_time publish_time                                                   \n",
       "2020         1                   2134          1173       1430        370   \n",
       "             2                      3             3         18         11   \n",
       "             3                     27            12         52         16   \n",
       "             4                    124            68        113         13   \n",
       "             5                    209           132        135         41   \n",
       "             6                    186           110        132         18   \n",
       "             7                    165           108        138         29   \n",
       "             8                    165           145         91         24   \n",
       "             9                    190            91         98         28   \n",
       "             10                   227            72        127         39   \n",
       "             11                   197            79        104         27   \n",
       "             12                   271            98         76         31   \n",
       "2021         1                   2523           892        841        198   \n",
       "             2                    173            85         76          9   \n",
       "             3                    295            87        100         17   \n",
       "             4                    161            83         60         13   \n",
       "             5                    179            69         55         21   \n",
       "             6                    182            75         41         12   \n",
       "             7                    270            64         59          5   \n",
       "\n",
       "                           dexamethasone  heparin  favipiravir  \\\n",
       "publish_time publish_time                                        \n",
       "2020         1                       561      984          666   \n",
       "             2                         1        3           12   \n",
       "             3                         3       21           11   \n",
       "             4                        14       77           48   \n",
       "             5                        12       92           48   \n",
       "             6                        48       84           30   \n",
       "             7                        58      117           56   \n",
       "             8                        56       95           45   \n",
       "             9                        90      111           46   \n",
       "             10                       97      117           81   \n",
       "             11                       77      124           77   \n",
       "             12                       76       87           56   \n",
       "2021         1                      1208     1096          805   \n",
       "             2                        86       61           52   \n",
       "             3                       150       82           85   \n",
       "             4                       130      144           60   \n",
       "             5                       108      141          106   \n",
       "             6                       128      116           66   \n",
       "             7                       169      106           44   \n",
       "\n",
       "                           methylprednisolone  \n",
       "publish_time publish_time                      \n",
       "2020         1                            331  \n",
       "             2                             19  \n",
       "             3                             14  \n",
       "             4                             14  \n",
       "             5                             21  \n",
       "             6                             29  \n",
       "             7                             27  \n",
       "             8                             35  \n",
       "             9                             26  \n",
       "             10                            37  \n",
       "             11                            44  \n",
       "             12                            59  \n",
       "2021         1                            474  \n",
       "             2                             63  \n",
       "             3                             36  \n",
       "             4                             37  \n",
       "             5                             44  \n",
       "             6                             42  \n",
       "             7                             50  "
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfm = df[['publish_time']+medications].set_index('publish_time')\n",
    "dfm = dfm[(dfm.index>=\"2020-01-01\") & (dfm.index<=\"2021-07-31\")]\n",
    "dfmt = dfm.groupby([dfm.index.year,dfm.index.month]).sum()\n",
    "dfmt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us a good picture of treatment strategies. Let's visualize it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfmt.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An interesting observation is that we have huge spikes at two locations: January, 2020 and January, 2021. It is caused by the fact that some papers do not have a clearly specified data of publication, and they are specified as January of the respective year.\n",
    "\n",
    "To make more sense of the data, let's visualize just a few medicines. We will also \"erase\" data for January, and fill it in by some medium value, in order to make nicer plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x300 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meds = ['hydroxychloroquine','tocilizumab','favipiravir']\n",
    "dfmt.loc[(2020,1)] = np.nan\n",
    "dfmt.loc[(2021,1)] = np.nan\n",
    "dfmt.fillna(method='pad',inplace=True)\n",
    "fig, ax = plt.subplots(1,len(meds),figsize=(10,3))\n",
    "for i,m in enumerate(meds):\n",
    "    dfmt[m].plot(ax=ax[i])\n",
    "    ax[i].set_title(m)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observe how popularity of hydroxychloroquine was on the rise in the first few months, and then started to decline, while number of mentions of favipiravir shows stable rise. Another good way to visualize relative popularity is to use **stack plot** (or **area plot** in Pandas terminology):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfmt.plot.area()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Even further, we can compute relative popularity in percents:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfmtp = dfmt.iloc[:,:].apply(lambda x: x/x.sum(), axis=1)\n",
    "dfmtp.plot.area()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Computing Medicine-Diagnosis Correspondence\n",
    "\n",
    "One of the most interesting relationships we can look for is how different diagnoses are treated with different medicines. In order to visualize it, we need to compute **co-occurence frequency map**, which would show how many times two terms are mentioned in the same paper.\n",
    "\n",
    "Such a map is essentially a 2D matrix, which is best represented by **numpy array**. We will compute this map by walking through all abstracts, and marking entities that occur there:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = np.zeros((len(medications),len(diagnosis)))\n",
    "for a in df['abstract']:\n",
    "    x = str(a).lower()\n",
    "    for i,d in enumerate(diagnosis):\n",
    "        if ' '+d in x:\n",
    "            for j,me in enumerate(medications):\n",
    "                if ' '+me in x:\n",
    "                    m[j,i] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[4788., 2264.,  741., 2109.,  348., 2730.,  975.],\n",
       "       [2111., 1238.,  231.,  998.,   79., 1394.,  364.],\n",
       "       [2186.,  821.,  691., 1063.,  185., 1136.,  573.],\n",
       "       [3210., 2191.,  522., 1538.,  160., 2191.,  622.],\n",
       "       [1803.,  773.,  406.,  880.,  133.,  909.,  410.],\n",
       "       [1982., 1102.,  379.,  885.,  113., 1366.,  370.],\n",
       "       [ 504.,  356.,   83.,  259.,   23.,  354.,  106.],\n",
       "       [1419.,  640.,  345.,  742.,  108.,  760.,  314.],\n",
       "       [1537.,  678.,  330.,  782.,   93.,  826.,  301.],\n",
       "       [ 967.,  634.,  201.,  431.,   44.,  656.,  136.],\n",
       "       [ 660.,  336.,  293.,  385.,   53.,  452.,  148.]])"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One of the ways to visualize this matrix is to draw a **heatmap**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-64\"/>\r\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"91.259766\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"152.539062\" xlink:href=\"#DejaVuSans-62\"/>\r\n       <use x=\"216.015625\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"277.539062\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"316.748047\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"378.271484\" xlink:href=\"#DejaVuSans-73\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_6\">\r\n     <g id=\"line2d_6\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"246.671625\" xlink:href=\"#mf4b223099c\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_6\">\r\n      <!-- coronavirus -->\r\n      <g transform=\"translate(249.431 338.754187)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-63\"/>\r\n       <use 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id=\"ytick_2\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"43.488\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- chloroquine -->\r\n      <g transform=\"translate(47.923438 47.287219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-63\"/>\r\n       <use x=\"54.980469\" xlink:href=\"#DejaVuSans-68\"/>\r\n       <use x=\"118.359375\" xlink:href=\"#DejaVuSans-6c\"/>\r\n       <use x=\"146.142578\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"207.324219\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"246.1875\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"307.369141\" xlink:href=\"#DejaVuSans-71\"/>\r\n       <use x=\"370.845703\" xlink:href=\"#DejaVuSans-75\"/>\r\n       <use x=\"434.224609\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"462.007812\" xlink:href=\"#DejaVuSans-6e\"/>\r\n       <use x=\"525.386719\" 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  <use x=\"210.9375\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"238.720703\" xlink:href=\"#DejaVuSans-7a\"/>\r\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-75\"/>\r\n       <use x=\"354.589844\" xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"452.001953\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"513.28125\" xlink:href=\"#DejaVuSans-62\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_4\">\r\n     <g id=\"line2d_11\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"91.872\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_11\">\r\n      <!-- remdesivir -->\r\n      <g transform=\"translate(53.539063 95.671219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"38.863281\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"100.386719\" xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"197.798828\" xlink:href=\"#DejaVuSans-64\"/>\r\n       <use x=\"261.275391\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"322.798828\" xlink:href=\"#DejaVuSans-73\"/>\r\n       <use x=\"374.898438\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"402.681641\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"461.861328\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"489.644531\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_12\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"116.064\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_12\">\r\n      <!-- azithromycin -->\r\n      <g transform=\"translate(41.925 119.863219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"61.279297\" xlink:href=\"#DejaVuSans-7a\"/>\r\n       <use x=\"113.769531\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"141.552734\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"180.761719\" xlink:href=\"#DejaVuSans-68\"/>\r\n       <use x=\"244.140625\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"283.003906\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"344.185547\" xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"441.597656\" xlink:href=\"#DejaVuSans-79\"/>\r\n       <use x=\"500.777344\" xlink:href=\"#DejaVuSans-63\"/>\r\n       <use x=\"555.757812\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"583.541016\" xlink:href=\"#DejaVuSans-6e\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_6\">\r\n     <g id=\"line2d_13\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"140.256\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_13\">\r\n      <!-- lopinavir -->\r\n      <g transform=\"translate(63.31875 144.055219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-6c\"/>\r\n       <use x=\"27.783203\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"88.964844\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"152.441406\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"180.224609\" xlink:href=\"#DejaVuSans-6e\"/>\r\n       <use x=\"243.603516\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"304.882812\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"364.0625\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"391.845703\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_7\">\r\n     <g id=\"line2d_14\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"164.448\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_14\">\r\n      <!-- ritonavir -->\r\n      <g transform=\"translate(64.414062 168.247219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"41.113281\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"68.896484\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"108.105469\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"169.287109\" xlink:href=\"#DejaVuSans-6e\"/>\r\n       <use x=\"232.666016\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"293.945312\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"353.125\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"380.908203\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_8\">\r\n     <g id=\"line2d_15\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"188.64\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_15\">\r\n      <!-- dexamethasone -->\r\n      <g transform=\"translate(26.14375 192.439219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-64\"/>\r\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"123.25\" xlink:href=\"#DejaVuSans-78\"/>\r\n       <use x=\"182.429688\" xlink:href=\"#DejaVuSans-61\"/>\r\n    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     <use x=\"63.378906\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"124.902344\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"188.378906\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"249.658203\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"290.771484\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"318.554688\" xlink:href=\"#DejaVuSans-6e\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_10\">\r\n     <g id=\"line2d_17\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"237.024\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_17\">\r\n      <!-- favipiravir -->\r\n      <g transform=\"translate(56.096875 240.823219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-66\"/>\r\n       <use x=\"35.205078\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"96.484375\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"155.664062\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"183.447266\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"246.923828\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"274.707031\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"315.820312\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"377.099609\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"436.279297\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"464.0625\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_11\">\r\n     <g id=\"line2d_18\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"261.216\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_18\">\r\n      <!-- methylprednisolone -->\r\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"97.412109\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(m,interpolation='nearest',cmap='hot')\n",
    "ax = plt.gca()\n",
    "ax.set_yticks(range(len(medications))) \n",
    "ax.set_yticklabels(medications)\n",
    "ax.set_xticks(range(len(diagnosis)))\n",
    "ax.set_xticklabels(diagnosis,rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, even better visualization can be done using so-called **Sankey** diagram! `matplotlib` does not have built-in support for this diagram type, so we would have to use [Plotly](https://plotly.com/python/) as described [in this tutorial](https://plotly.com/python/sankey-diagram/).\n",
    "\n",
    "To make plotly sankey diagram, we need to build the following lists:\n",
    "* List `all_nodes` of all nodes in the graph, which will include both medications and diagnosis\n",
    "* List of source and target indices - those lists would show, which nodes go to the left, and which to the right part of the diagram\n",
    "* List of all links, each link consisting of:\n",
    "   - Source index in the `all_nodes` array\n",
    "   - Target index \n",
    "   - Value indicating strength of the link. This is exactly the value from our co-occurence matrix.\n",
    "   - Optionally color of the link. We will make an option to highlight some of the terms for clarity\n",
    "\n",
    "Generic code to draw sankey diagram is structured as a separate `sankey` function, which takes two lists (source and target categories) and co-occurence matrix. It also allows us to specify the threshold, and omit all links that are weaker than that threshold - this makes the diagram a little bit less complex. "
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   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "def sankey(cat1, cat2, m, treshold=0, h1=[], h2=[]):\n",
    "    all_nodes = cat1 + cat2\n",
    "    source_indices = list(range(len(cat1)))\n",
    "    target_indices = list(range(len(cat1),len(cat1)+len(cat2)))\n",
    "\n",
    "    s, t, v, c = [], [], [], []\n",
    "    for i in range(len(cat1)):\n",
    "        for j in range(len(cat2)):\n",
    "            if m[i,j]>treshold:\n",
    "                s.append(i)\n",
    "                t.append(len(cat1)+j)\n",
    "                v.append(m[i,j])\n",
    "                c.append('pink' if i in h1 or j in h2 else 'lightgray')\n",
    "\n",
    "    fig = go.Figure(data=[go.Sankey(\n",
    "        # Define nodes\n",
    "        node = dict(\n",
    "        pad = 40,\n",
    "        thickness = 40,\n",
    "        line = dict(color = \"black\", width = 1.0),\n",
    "        label =  all_nodes),\n",
    "\n",
    "        # Add links\n",
    "        link = dict(\n",
    "        source =  s,\n",
    "        target =  t,\n",
    "        value =  v,\n",
    "        color = c\n",
    "    ))])\n",
    "    fig.show()\n",
    "\n",
    "sankey(medications,diagnosis,m,500,h2=[0])"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "You have seen that we can use quite simple methods to extract information from non-structured data sources, such as text. In this example, we have taken the existing list of medications, but it would be much more powerful to use natural language processing (NLP) techniques to perform entity extraction from text. In [this blog post](https://soshnikov.com/science/analyzing-medical-papers-with-azure-and-text-analytics-for-health/) we describe how to use cloud services for entity extraction. Another option would be using Python NLP libraries such as [NLTK](https://www.nltk.org/) - an approach for extracting information from text using NLTK is described [here](https://www.nltk.org/book/ch07.html)."
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Challenge\n",
    "\n",
    "Continue to research the COVID paper data along the following lines:\n",
    "\n",
    "1. Build co-occurrence matrix of different medications, and see which medications often occur together (i.e. mentioned in one abstract). You can modify the code for building co-occurrence matrix for medications and diagnoses.\n",
    "1. Visualize this matrix using heatmap.\n",
    "1. As a stretch goal, you may want to visualize the co-occurrence of medications using [chord diagram](https://en.wikipedia.org/wiki/Chord_diagram). [This library](https://pypi.org/project/chord/) may help you draw a chord diagram.\n",
    "1. As another stretch goal, try to extract dosages of different medications (such as **400mg** in *take 400mg of chloroquine daily*) using regular expressions, and build dataframe that shows different dosages for different medications. **Note**: consider numeric values that are in close textual vicinity of the medicine name."
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